Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 676

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework

Hu, Mu, Zhang, Mingli, Wang, Yu·2017·Computers in Human Behavior
DOI 10.1016/j.chb.2017.06.006
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.chb.2017.06.006

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 66

  1. Aguirre-Rodriguez, 2015, The impact of consumer avatars in Internet retailing on self-congruity with brands, Marketing Letters, 26, 631, 10.1007/s11002-014-9296-z · DOI
  2. Algesheimer, 2005, The social influence of brand community: Evidence from European car clubs, Journal of Marketing, 69, 19, 10.1509/jmkg.69.3.19.66363 · DOI · Paper page
  3. Ashforth, 2008, Identification in organizations: An examination of four fundamental questions, Journal of Management, 34, 325, 10.1177/0149206308316059 · DOI · Paper page
  4. Ashforth, 1989, Social identity theory and the organization, Academy of Management Review, 14, 20, 10.2307/258189 · doi:10.2307/258189 · Paper page
  5. Badrinarayanan, 2015, A dual identification framework of online multiplayer video games: The case of massively multiplayer online role playing games (MMORPGs), Journal of Business Research, 68, 1045, 10.1016/j.jbusres.2014.10.006 · DOI
  6. Barekatain, 2015, Efficient P2P live video streaming over hybrid WMNs using random network coding, Wireless Personal Communications, 80, 1761, 10.1007/s11277-014-2112-5 · DOI
  7. Basil, 1996, Identification as a mediator of celebrity effects, Journal of Broadcasting & Electronic Media, 40, 478, 10.1080/08838159609364370 · DOI · Paper page
  8. Belén del Río, 2001, The effects of brand associations on consumer response, Journal of Consumer Marketing, 18, 410, 10.1108/07363760110398808 · DOI · Paper page
  9. Bhalla, 1987, Cross-cultural marketing research: A discussion of equivalence issues and measurement strategies, Psychology and Marketing, 4, 275
  10. Bhattacharya, 2003, Consumer-company identification: A framework for understanding consumers' relationships with companies, Journal of Marketing, 67, 76, 10.1509/jmkg.67.2.76.18609 · DOI · Paper page
  11. Boon, 2001, Admirer-celebrity relationships among young adults, Human Communication Research, 27, 432
  12. Brown, 2015, Examining four processes of audience involvement with media personae: Transportation, parasocial interaction, identification, and worship, Communication Theory, 25, 259, 10.1111/comt.12053 · DOI · Paper page
  13. Brown, 2010, Parasocial interaction and identification: Social change processes for effective health interventions, Health Communication, 25, 601, 10.1080/10410236.2010.496830 · DOI
  14. Brown, 2010, Sports celebrities and public health: Diego Maradona's influence on drug use prevention, Journal of Health Communication, 15, 358, 10.1080/10810730903460575 · DOI
  15. Chin, 1998, The partial least squares approach to structural equation modeling, Modern Methods for Business Research, 295, 295
  16. Click, 2013, Making monsters: Lady Gaga, fan identification, and social media, Popular Music and Society, 36, 360, 10.1080/03007766.2013.798546 · DOI
  17. Cohen, 2016, Examining perceived distance and personal authenticity as mediators of the effects of ghost-tweeting on parasocial interaction, Cyberpsychology, Behavior, and Social Networking, 19, 342, 10.1089/cyber.2015.0657 · DOI
  18. Dholakia, 2004, A social influence model of consumer participation in network-and small-group-based virtual communities, International Journal of Research in Marketing, 21, 241, 10.1016/j.ijresmar.2003.12.004 · DOI · Paper page
  19. Dibble, 2016, Parasocial interaction and parasocial relationship: Conceptual clarification and a critical assessment of measures, Human Communication Research, 42, 21, 10.1111/hcre.12063 · DOI · Paper page
  20. Frederick, 2012, Why we follow: An examination of parasocial interaction and fan motivations for following athlete archetypes on Twitter, International Journal of Sport Communication, 5, 481, 10.1123/ijsc.5.4.481 · DOI
  21. Füller, 2008, Brand community members as a source of innovation, Journal of Product Innovation Management, 25, 608, 10.1111/j.1540-5885.2008.00325.x · DOI · Paper page
  22. Hall-Phillips, 2016, I (heart) social ventures: Identification and social media engagement, Journal of Business Research, 69, 484, 10.1016/j.jbusres.2015.05.005 · DOI
  23. Hargittai, 2011, The tweet smell of celebrity success: Explaining variation in Twitter adoption among a diverse group of young adults, New Media & Society, 13, 824, 10.1177/1461444811405805 · DOI
  24. He, 2012, Social identity perspective on brand loyalty, Journal of Business Research, 65, 648, 10.1016/j.jbusres.2011.03.007 · DOI · Paper page
  25. Helm, 2016, Exploring the impact of employees' self-concept, brand identification and brand pride on brand citizenship behaviors, European Journal of Marketing, 50, 58, 10.1108/EJM-03-2014-0162 · DOI
  26. Houlberg, 1984, Local television news audience and the para-social interaction, Journal of Broadcasting & Electronic Media, 28, 423, 10.1080/08838158409386551 · DOI
  27. Hsu, 2015, Understanding community citizenship behavior in social networking sites, Industrial Management & Data Systems, 115, 1752, 10.1108/IMDS-05-2015-0211 · DOI
  28. Hu, 2016, Understanding participation on video sharing communities: The role of self-construal and community interactivity, Computers in Human Behavior, 62, 105, 10.1016/j.chb.2016.03.077 · DOI
  29. Jin, 2014, Following celebrities' tweets about brands: The impact of Twitter-based electronic word-of-mouth on consumers' source credibility perception, buying intention, and social identification with celebrities, Journal of Advertising, 43, 181, 10.1080/00913367.2013.827606 · DOI · Paper page
  30. Kang, 2009, Exploring Continued Online Service Usage Behavior: The Roles of Self-Image Congruity and Regret, Computers in Human Behavior, 25, 111, 10.1016/j.chb.2008.07.009 · DOI · Paper page
  31. Katz, 1990, Interacting with" Dallas": Cross cultural readings of american TV, Canadian Journal of Communication, 15, 45
  32. Keh, 2009, Corporate reputation and customer behavioral intentions: The roles of trust, identification and commitment, Industrial Marketing Management, 38, 732, 10.1016/j.indmarman.2008.02.005 · DOI · Paper page
  33. Keil, 2000, A cross-cultural study on escalation of commitment behavior in software projects, MIS Quarterly, 24, 299, 10.2307/3250940 · DOI · Paper page
  34. Kelman, 1961, Processes of opinion change, Public Opinion Quarterly, 25, 57, 10.1086/266996 · DOI · Paper page
  35. Khan, 2014, Virality over YouTube: An empirical analysis, Internet Research, 24, 629, 10.1108/IntR-05-2013-0085 · DOI
  36. Kleine, 1993, Mundane consumption and the self: A social-identity perspective, Journal of Consumer Psychology, 2, 209, 10.1016/S1057-7408(08)80015-0 · DOI · Paper page
  37. Koo, 2014, Actual and ideal self-congruity affecting consumers' emotional and behavioral responses toward an online store, Computers in Human Behavior, 36, 147, 10.1016/j.chb.2014.03.058 · DOI
  38. Lange, 2007, Publicly private and privately public: Social networking on YouTube, Journal of Computer-mediated Communication, 13, 361, 10.1111/j.1083-6101.2007.00400.x · DOI · Paper page
  39. Lee, 2012, To personalize or depersonalize? When and how politicians' personalized tweets affect the public's reactions, Journal of Communication, 62, 932, 10.1111/j.1460-2466.2012.01681.x · DOI
  40. Lim, 2012, Getting closer and experiencing together: Antecedents and consequences of psychological distance in social media-enhanced real-time streaming video, Computers in Human Behavior, 28, 1365, 10.1016/j.chb.2012.02.022 · DOI
  41. Lin, 2014, Determinants of users' continuance of social networking sites: A self-regulation perspective, Information & Management, 51, 595, 10.1016/j.im.2014.03.010 · DOI · Paper page
  42. Liu, 2015, Authentic leadership and whistleblowing: Mediating roles of psychological safety and personal identification, Journal of Business Ethics, 131, 107, 10.1007/s10551-014-2271-z · DOI
  43. Luo, 2016, How community interactions contribute to harmonious community relationships and customers' identification in online brand community, International Journal of Information Management, 36, 673, 10.1016/j.ijinfomgt.2016.04.016 · DOI
  44. Nambisan, 2009, Virtual customer environments: Testing a model of voluntary participation in value co-creation activities, Journal of Product Innovation Management, 26, 388, 10.1111/j.1540-5885.2009.00667.x · DOI · Paper page
  45. Pennington, 2016, To tweet or not to Tweet: Explaining fan-celebrity interaction on twitter, Iowa Journal of Communication, 48, 55
  46. Postmes, 2005, Individuality and social influence in groups: Inductive and deductive routes to group identity, Journal of Personality and Social Psychology, 89, 747, 10.1037/0022-3514.89.5.747 · DOI · Paper page
  47. Powell, 2011, Social networking and political Campaigns: Perceptions of candidates as interpersonal constructs, North American Journal of Psychology, 13, 331
  48. Riley, 2016, Developing a sense of belonging through engagement with like-minded peers: A matter of equity, New Zealand Journal of Educational Studies, 51, 211, 10.1007/s40841-016-0065-9 · DOI
  49. Roy, 2015, Antecedents and consequences of self-congruity, European Journal of Marketing, 49, 444, 10.1108/EJM-12-2013-0739 · DOI
  50. Shamir, 1998, Correlates of charismatic leader behavior in military units: Subordinates' attitudes, unit characteristics, and superiors' appraisals of leader performance, Academy of Management Journal, 41, 387, 10.2307/257080 · DOI · Paper page
  51. Sirgy, 1982, Self-concept in consumer behavior: A critical review, Journal of Consumer Research, 9, 287, 10.1086/208924 · DOI · Paper page
  52. Stern, 2007, Hidden persuasions in soap operas: Damaged heroines and negative consumer effects, International Journal of Advertising, 26, 9, 10.1080/02650487.2007.11072994 · DOI
  53. Stokburger-Sauer, 2012, Drivers of consumer–brand identification, International Journal of Research in Marketing, 29, 406, 10.1016/j.ijresmar.2012.06.001 · DOI · Paper page
  54. Tang, 2016, Meerkat and periscope: I stream, you stream, apps stream for live streams, Vol. 16, 4770
  55. Thomson, 2006, Human brands: Investigating antecedents to consumers' strong attachments to celebrities, Journal of Marketing, 70, 104, 10.1509/jmkg.70.3.104 · DOI · Paper page
  56. Tsai, 2014, Contribution behavior in virtual Communities: Cogntiive, emotional, and social influences, MIS Quarterly, 38, 143, 10.25300/MISQ/2014/38.1.07 · DOI · Paper page
  57. Tuškej, 2013, The role of consumer–brand identification in building brand relationships, Journal of Business Research, 66, 53, 10.1016/j.jbusres.2011.07.022 · DOI · Paper page
  58. Wang, 2013, Customers' perceived benefits of interacting in a virtual brand community in China, Journal of Electronic Commerce Research, 14, 49
  59. Wang, 2015, How readers' perceived self-congruity and functional congruity affect bloggers' informational influence: Perceived interactivity as a moderator, Online Information Review, 39, 537, 10.1108/OIR-02-2015-0063 · DOI
  60. Xiang, 2016, Exploring consumers' impulse buying behavior on social commerce platform: The role of parasocial interaction, International Journal of Information Management, 36, 333, 10.1016/j.ijinfomgt.2015.11.002 · DOI · Paper page
  61. Yoshida, 2015, Predicting behavioral loyalty through community: Why other fans are more important than our own intentions, our satisfaction, and the team itself, Journal of Sport Management, 29, 318, 10.1123/jsm.2013-0306 · DOI · Paper page
  62. Zhang, 2016, Ethical leadership and whistleblowing: Collective moral potency and personal identification as mediators, Social Behavior and Personality: An International Journal, 44, 1223, 10.2224/sbp.2016.44.7.1223 · DOI
  63. Zheng, 2013, The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigation, Decision Support Systems, 56, 513, 10.1016/j.dss.2012.11.008 · DOI · Paper page
  64. Zhou, 2014, Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern, Computers in Human Behavior, 37, 283, 10.1016/j.chb.2014.05.008 · DOI
  65. Zhu, 2015, Ethical leadership and follower voice and performance: The role of follower identifications and entity morality beliefs, The Leadership Quarterly, 26, 702, 10.1016/j.leaqua.2015.01.004 · DOI
  66. Zhu, 2015, Understanding the role of social context and user factors in video Quality of Experience, Computers in Human Behavior, 49, 412, 10.1016/j.chb.2015.02.054 · DOI

Cited by

See all 676

Metadata

Authors
Hu, M., Zhang, M., & Wang, Y.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2017-10
Volume
75
Pages
594-606
ISSN
0747-5632 (ISSN-L)
DOI
10.1016/j.chb.2017.06.006
OpenAlex
W2624574483
Cited by
676
References
6
FWCI
15.59
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
National Natural Science Foundation of China (71272018)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.